• DocumentCode
    3096996
  • Title

    Parameter estimation of induction machines under no-load test

  • Author

    Lin, Whei-Min ; Su, Tzu-Jung ; Wu, Rong-Ching ; Tsai, Jong-Ian

  • Author_Institution
    Dept. of Electr. Eng., Nat. Sun Yat-Sen Univ., Kaohsiung, Taiwan
  • fYear
    2010
  • fDate
    15-17 June 2010
  • Firstpage
    1762
  • Lastpage
    1767
  • Abstract
    This paper uses time-varied signals of voltage, current and rotor speed to compute the equivalent circuit parameters, moment of inertia, and friction coefficient of an induction machine. A time-varied impedance can be found by the time-varied voltage and current. From the variation of impedance to the rotor speed, the parameters of steady equivalent circuit can be found. According to the equivalent circuit and rotor speed, the torque can be found via established dynamic system model. On the basis of torque and rotor speed with time, moment of inertia and friction coefficient of the motor can be obtained. This paper uses the least mean square method to solve the above parameters. The initial values of least mean square are also described in this paper. This paper used estimated parameters to simulate the starting states of an induction machine to compare with the real one, accordingly, practicability and accuracy of this method has been proven.
  • Keywords
    asynchronous machines; equivalent circuits; least mean squares methods; parameter estimation; equivalent circuit; friction coefficient; induction machines; least mean square method; parameter estimation; rotor speed; time-varied impedance; torque; Circuit testing; Equivalent circuits; Friction; Impedance; Induction machines; Least mean squares methods; Parameter estimation; Rotors; Torque; Voltage; Induction Machines; steady equivalent circuit; time-varied impedance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications (ICIEA), 2010 the 5th IEEE Conference on
  • Conference_Location
    Taichung
  • Print_ISBN
    978-1-4244-5045-9
  • Electronic_ISBN
    978-1-4244-5046-6
  • Type

    conf

  • DOI
    10.1109/ICIEA.2010.5515309
  • Filename
    5515309